Fujishiro, Mitsuhiro

Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images

Hirasawa, T., Aoyama, K., Tanimoto, T., Ishihara, S., Shichijo, S., Ozawa, T., Ohnishi, T., Fujishiro, M., Matsuo, K., Fujisaki, J., et al. (2018) · Gastric Cancer

AI in cancer detectionColorectal Cancer Screening and Detection

Cited by 744

Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks

Horie, Y., Yoshio, T., Aoyama, K., Yoshimizu, S., Horiuchi, Y., Ishiyama, A., Hirasawa, T., Tsuchida, T., Ozawa, T., Ishihara, S., et al. (2019) · Gastrointestinal Endoscopy

AI in cancer detectionEsophageal Cancer Research and Treatment

Cited by 467

Anti-thyroid antibodies and thyroid echo pattern at baseline as risk factors for thyroid dysfunction induced by anti-programmed cell death-1 antibodies: a prospective study

Okada, N., Iwama, S., Okuji, T., Kobayashi, T., Yasuda, Y., Wada, E., Onoue, T., Goto, M., Sugiyama, M., Tsunekawa, T., et al. (2020) · British Journal of Cancer

Cancer Immunotherapy and BiomarkersThyroid Disorders and Treatments

Cited by 78

Targeting autophagy as a therapeutic strategy against pancreatic cancer

Yamamoto, K., Iwadate, D., Kato, H., Nakai, Y., Tateishi, K., & Fujishiro, M. (2022) · Journal of Gastroenterology

Autophagy in Disease and TherapyPancreatic and Hepatic Oncology Research

Cited by 29

Post‐operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A , p53, and SMAD4 expression

Masugi, Y., Takamatsu, M., Tanaka, M., Hara, K., Inoue, Y., Hamada, T., Suzuki, T., Arita, J., Hirose, Y., Kawaguchi, Y., et al. (2023) · The Journal of Pathology: Clinical Research

Pancreatic and Hepatic Oncology ResearchCancer Genomics and Diagnostics

Cited by 23